During a vendor evaluation for an enterprise AI governance platform, the procurement team asks which external cloud ML platforms watsonx.governance officially supports for model monitoring alongside IBM's own watsonx.ai. Which answer is most complete and accurate?

IBM watsonx.governance officially supports Amazon SageMaker, Google Vertex AI, and Microsoft Azure ML as external platforms in addition to its native IBM watsonx.ai environment, enabling cross-vendor model governance from a single control plane. This multi-vendor architecture is central to IBM's governance strategy, recognizing that most enterprises operate heterogeneous AI environments across multiple cloud providers. Each supported platform has a dedicated connector that maps the external model's deployment metadata and metrics into the watsonx.governance monitoring and factsheet framework. The correct answer, "Amazon SageMaker, Google Vertex AI, and Microsoft Azure ML", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("Amazon SageMaker and Microsoft Azure ML only, with Google Vertex AI support on the roadmap", "Google Vertex AI and IBM Watson Studio only, with AWS and Azure support planned", "Only models hosted on IBM Cloud infrastructure are supported; third-party platforms require a fully custom integration") may seem plausible but do not satisfy the core requirement. Understanding the distinction between these concepts is critical for IBM watsonx.governance implementations and is frequently tested in the 1.0 AI Governance Overview section of the certification exam.